3,821 research outputs found
Saturation properties of nuclear matter in the presence of strong magnetic field
Different saturation properties of cold symmetric nuclear matter in the
strong magnetic field have been considered. We have seen that for magnetic
fields about , {for both cases with and without
nucleon anomalous magnetic moments}, the saturation density and saturation
energy grow by increasing the magnetic field. It is indicated that the magnetic
susceptibility of symmetric nuclear matter becomes negative showing the
diamagnetic response especially at . We have found
that for the nuclear matter, the magnitude of orbital magnetization reaches the
higher values comparing to the spin magnetization. Our results for the
incompressibility show that at high enough magnetic fields, i.e. , {the softening of equation of state caused by Landau
quantization is overwhelmed by stiffening due to the magnetization of nuclear
matter.} We have shown that the effects of strong magnetic field on nuclear
matter may affect the constraints on the equation of state of symmetric nuclear
matter obtained applying the experimental observable.Comment: 16 pages, 1 table, 7 figures, European Physical Journal A 52 (2016)
accepte
Probe Branes Thermalization in External Electric and Magnetic Fields
We study thermalization on rotating probe branes in AdS_5 x S^5 background in
the presence of constant external electric and magnetic fields. In the AdS/CFT
framework this corresponds to thermalization in the flavour sector in field
theory. The horizon appears on the worldvolume of the probe brane due to its
rotation in one of the sphere directions. For both electric and magnetic fields
the behaviour of the temperature is independent of the probe brane dimension.
We also study the open string metric and the fluctuations of the probe brane in
such a set-up. We show that the temperatures obtained from open string metric
and observed by the fluctuations are larger than the one calculated from the
induced metric.Comment: 27 pages, 7 figure
Negated Complementary Commonsense using Large Language Models
Larger language models, such as GPT-3, have shown to be excellent in many
tasks. However, we demonstrate that out-of-ordinary questions can throw the
model off guard. This work focuses on finding answers to negated complementary
questions in commonsense scenarios. We illustrate how such questions adversely
affect the model responses. We propose a model-agnostic methodology to improve
the performance in negated complementary scenarios. Our method outperforms
few-shot generation from GPT-3 (by more than 11 points) and, more importantly,
highlights the significance of studying the response of large language models
in negated complementary questions. The code, data, and experiments are
available under: https://github.com/navidre/negated_complementary_commonsense.Comment: Appeared in Natural Language Reasoning and Structured Explanations
Workshop (NLRSE) - ACL 202
Assessing the Nursing and Midwifery Students Competencies in Communication With Patients With Severe Communication Problems
Background: Clients with communication impairment are at risk for health disparity. Hence, health care workers should be knowledgeable and skillful in communication. However, no studies are available on Iranian nursing and midwifery students’ communication skills with patients with severe communication problems.
Objectives: The present study was conducted to investigate Iranian nursing and midwifery students' competencies in communication with patients with severe communication problems.
Materials and Methods: This study was performed on all senior nursing and midwifery students of Kashan University of Medical Sciences in spring 2013. Data were collected through a knowledge questionnaire and two checklists for evaluation of skills needed for communication with patients with severe communication problems. Data analysis was performed through independent samples t test, and Fisher’s exact test.
Results: In total, 68.8% of the participants were female, 37.6% had a history of part-time job as a nurse or midwife. The mean score of knowledge were 4.41 ± 1.42 and 4.77 ± 1.77 for nursing and midwifery students, respectively and the difference was not significant (P = 0.312). In addition, the mean score of communication skills with deaf patients was 13.23 ± 4.68 and 11.86 ± 5.55 for nursing and midwifery students, respectively and the difference was not significant (P = 0.258). Also, the mean score of communication skills with stutter patients was 23.91 ± 4.17 and 21.25 ± 3.91 for nursing and midwifery students, respectively but the difference was not significant (P = 0.269).
Conclusions: Nursing and midwifery students did not significantly differ in terms of communication with patients with severe communication problems. Most of the students had low or very low knowledge and skills in communication with patients with hearing impairment. However, they had better skills in communication with patient with speech problem. Special workshops or training programs are recommended to empower nursing and midwifery students in communication with patients with communication problems
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